Senior AI Engineer

As a Senior AI Engineer, you will be working for our client, a global leader in AI innovation dedicated to transforming industries through advanced language models and intelligent automation. You will own the architecture and end-to-end delivery of complex, production-grade AI systems-ranging from AI decisioning logic to multi-step conversational agents-pushing the boundaries of what’s possible with large language models. Join us to shape the future of AI technology and accelerate your career in cutting-edge innovation.

Your main responsibilities:

• Design and implement scalable, reliable AI systems with a focus on latency, cost, and operational efficiency.
• Develop complex language model architectures, including RAG, tool-calling, and multi-agent orchestration.
• Build evaluation frameworks to measure model quality, detect regressions, and monitor drift in production environments.
• Integrate AI/ML models into core business logic, ensuring safety, compliance, and robustness in decision-critical contexts.
• Engineer solutions for hallucination mitigation and safe-failure in regulated applications.
• Collaborate with cross-functional teams to review designs, mentor engineers, and promote best practices in AI engineering.
• Evaluate build-vs-buy options across LLM providers and third-party AI tools to optimize performance and cost.
• Ensure observability, guardrails, and caching are in place for AI decisioning pipelines.

• 5+ years of software engineering experience, including 2+ years working with production Large Language Models (LLMs).
• Deep expertise in LLM application architecture: retrieval-augmented generation (RAG), multi-agent orchestration, model routing, and fallback strategies.
• Proven track record of deploying scalable AI systems with a focus on latency, reliability, and cost management.
• Strong system design skills with experience in guardrails, caching, and observability for AI pipelines.
• Practical knowledge of hallucination mitigation and designing safe AI solutions in regulated environments.
• Advanced proficiency with AI-assisted engineering tools and best practices.
• Ability to assess build-vs-buy tradeoffs among AI providers and third-party tools.
• Experience mentoring AI engineers and reviewing technical designs and code.

Nice-to-have:

• Certifications or experience in AI safety and compliance.
• Additional knowledge of AI evaluation harnesses and drift detection tools.

Language required for the role:

• Fluent English, with excellent communication skills.